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TukeyHSD fails on my data

3 messages · Gav Wood, Brian Ripley

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Howdo folks,

So I have my data (attached). There are two columns I'm interested in; 
"algname" and "dur". I'd like to know how dur changes with algname. 
algname is nominal and there are 7 possibilities. There are two more 
nominal independents, "task" and "id", so my model is:

dur ~ algname+task+id

 From the research I've done, a TukeyHSD seems to be what I need, so I do:

TukeyHSD(aov(dur ~ algname+task+id, cstats), ordered=T)

But I get this back:

Error in rep.int(n, length(means)) : unimplemented type 'NULL' in 'rep'
In addition: Warning messages:
1: non-factors ignored: task in: replications(paste("~", xx), data = mf)
2: non-factors ignored: id in: replications(paste("~", xx), data = mf)

Can anyone shed any light on the situation?

Gav
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We don't have the data (nothing useful was attached - see the posting 
guide for what you can attach), but it looks like you should be using the 
'which' argument to TukeyHSD.
On Mon, 7 May 2007, Gav Wood wrote:

            

  
    
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Prof Brian Ripley <ripley <at> stats.ox.ac.uk> writes:
The problem was, as Jeff Laake adroitly pointed out, I had failed to tell R that
the latter two independents were factors. It was easliy fixed with as.factor().

Thanks folks,

Gav